Weimao Ke

Associate Professor

Information Science

Dr. Ke's research is centered on information retrieval (IR), particularly the investigation of intelligent systems that support better connection and interaction between people and information. His recent focus is on decentralized IR functions that can adapt and scale in continuously growing and increasingly interconnected information spaces. His broad interests also include complex networks/systems, text mining, information visualization, bibliometrics, machine learning, multi-agent systems, and the notion of information. Dr. Ke's major teaching interests include IR, databases, data mining, software/web development, and complex systems.

Education

PhD, Information Science, University of North Carolina at Chapel Hill

MA, Information Science, Indiana University Bloomington

BE, Chemical Engineering, East China University of Science & Technology

Weimao Ke and Javed Mostafa (2010). Scalability of Findability: Efficient and Effective IR Operations in Large Information Networks. In SIGIR ’10: Proceedings of the 33nd annual international ACM SIGIR conference on research and development in information retrieval, pp. 74-81. Geneva, Switzerland. July 19-23, 2010.